Der-Chiang Li - RankMe

72 papers Journal 64Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing prediction accuracy for high-dimensional small-sample-size microarray data cancer by combining chebyshev interpolation with new dual-net GAN. Appl. Soft Comput. Liang-Sian Lin, Yao-San Lin, Der-Chiang Li, Susan C. Hu, Chih-I Huang
2023	J	`jnl`	Generating virtual samples to improve learning performance in small datasets with non-linear and asymmetric distributions. Neurocomputing Liang-Sian Lin, Yao-San Lin, Der-Chiang Li
2023	J	`jnl`	Improved learning performance for small datasets in high dimensions by new dual-net model for non-linear interpolation virtual sample generation. Decis. Support Syst. Liang-Sian Lin, Yao-San Lin, Der-Chiang Li, Yun-Hsuan Liu
2023	J	`jnl`	Mega trend diffusion-siamese network oversampling for imbalanced datasets' SVM classification. Appl. Soft Comput. Liang-Sian Lin, Yao-San Lin, Der-Chiang Li, Yi-Ting Chen
2022	J	`jnl`	A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets. Entropy Der-Chiang Li, Qi-Shi Shi, Yao-San Lin, Liang-Sian Lin
2022	J	`jnl`	A Novel Classification Method Based on a Two-Phase Technique for Learning Imbalanced Text Data. Symmetry Der-Chiang Li, Szu-Chou Chen, Yao-San Lin, Wen-Yen Hsu
2022	J	`jnl`	Learning class-imbalanced data with region-impurity synthetic minority oversampling technique. Inf. Sci. Der-Chiang Li, Ssu-Yang Wang, Kuan-Cheng Huang, Tung-I Tsai
2020	J	`jnl`	An envelopment learning procedure for improving prediction accuracies of grey models. Comput. Ind. Eng. Chien-Chih Chen, Che-Jung Chang, Zheng-Yun Zhuang, Der-Chiang Li
2020	J	`jnl`	Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions. Eur. J. Oper. Res. Amin Hocine, Zheng-Yun Zhuang, Noureddine Kouaissah, Der-Chiang Li
2019	J	`jnl`	Building robust models for small data containing nominal inputs and continuous outputs based on possibility distributions. Int. J. Mach. Learn. Cybern. Der-Chiang Li, Qi-Shi Shi, Hung-Yu Chen
2019	—	`conf`	Generating Synthetic Samples to Improve Small Sample Learning with Mixed Numerical and Categorical Attributes. IIAI-AAI Yao-San Lin, Wan-Ni Cheng, Chien-Chih Chen, Der-Chiang Li, Hung-Yu Chen
2019	J	`jnl`	Using virtual samples to improve learning performance for small datasets with multimodal distributions. Soft Comput. Der-Chiang Li, Liang-Sian Lin, Chien-Chih Chen, Wei-Hao Yu
2018	J	`jnl`	An attribute extending method to improve learning performance for small datasets. Neurocomputing Liang-Sian Lin, Der-Chiang Li, Hung-Yu Chen, Yu-Chun Chiang
2018	J	`jnl`	Latent-Function-Based Residual Discrete Grey Model for Short-Term Demand Forecasting. Cybern. Syst. Che-Jung Chang, Wen-Li Dai, Der-Chiang Li, Chien-Chih Chen
2018	J	`jnl`	Learning from small datasets containing nominal attributes. Neurocomputing Der-Chiang Li, Hung-Yu Chen, Qi-Shi Shi
2018	J	`jnl`	Rebuilding sample distributions for small dataset learning. Decis. Support Syst. Der-Chiang Li, Wu-Kuo Lin, Chien-Chih Chen, Hung-Yu Chen, Liang-Sian Lin
2018	J	`jnl`	Using an attribute conversion approach for sample generation to learn small data with highly uncertain features. Int. J. Prod. Res. Der-Chiang Li, Qi-Shi Shi, Ming-Da Li
2017	J	`jnl`	The attribute-trend-similarity method to improve learning performance for small datasets. Int. J. Prod. Res. Der-Chiang Li, Wu-Kuo Lin, Liang-Sian Lin, Chien-Chih Chen, Wen-Ting Huang
2016	—	`conf`	A Learning Approach with Under-and Over-Sampling for Imbalanced Data Sets. IIAI-AAI Chun-Wu Yeh, Der-Chiang Li, Liang-Sian Lin, Tung-I Tsai
2016	—	`conf`	Extending Sample Information for Small Data Set Prediction. IIAI-AAI Hung-Yu Chen, Der-Chiang Li, Liang-Sian Lin
2016	—	`conf`	Improving Virtual Sample Generation for Small Sample Learning with Dependent Attributes. IIAI-AAI Liang-Sian Lin, Der-Chiang Li, Chih-Wei Pan
2016	J	`jnl`	Using a diffusion wavelet neural network for short-term time series learning in the wafer level chip scale package process. J. Intell. Manuf. Der-Chiang Li, Chun-Wu Yeh, Chieh-Chih Chen, Hung-Ta Shih
2015	J	`jnl`	A novel gray forecasting model based on the box plot for small manufacturing data sets. Appl. Math. Comput. Che-Jung Chang, Der-Chiang Li, Yi-Hsiang Huang, Chien-Chih Chen
2015	—	`conf`	Generating Information-Diffusion-Based Virtual Samples to Improve Small Data Set Prediction for Ceramic Powder: A Case Study. ACIT-CSI Hung-Yu Chen, Der-Chiang Li
2015	—	`conf`	Generating Multi-modality Virtual Samples with Soft DBSCAN for Small Data Set Learning. ACIT-CSI Liang-Sian Lin, Der-Chiang Li, Wei-Hao Yu, Yu-Mei Hsueh
2015	—	`conf`	Improving Knowledge Acquisition Capability of M5' Model Tree on Small Datasets. ACIT-CSI Chun-Hao Tsai, Der-Chiang Li
2015	—	`conf`	Non-parametric Statistical Assistance in Virtual Sample Selection for Small Data Set Prediction. ACIT-CSI Yao-San Lin, Liang-Sian Lin, Der-Chiang Li, Wei-Lin Liao
2014	J	`jnl`	A forecasting model for small non-equigap data sets considering data weights and occurrence possibilities. Comput. Ind. Eng. Che-Jung Chang, Der-Chiang Li, Chien-Chih Chen, Chia-Sheng Chen
2014	J	`jnl`	A genetic algorithm-based virtual sample generation technique to improve small data set learning. Neurocomputing Der-Chiang Li, I-Hsiang Wen
2014	J	`jnl`	A latent information function to extend domain attributes to improve the accuracy of small-data-set forecasting. Neurocomputing Che-Jung Chang, Der-Chiang Li, Wen-Li Dai, Chien-Chih Chen
2014	J	`jnl`	Employing box plots to build high-dimensional manufacturing models for new products in TFT-LCD plants. Neurocomputing Der-Chiang Li, Wen-Ting Huang, Chien-Chih Chen, Che-Jung Chang
2014	J	`jnl`	Generating information for small data sets with a multi-modal distribution. Decis. Support Syst. Der-Chiang Li, Liang-Sian Lin
2014	J	`jnl`	Improving learning accuracy by using synthetic samples for small datasets with non-linear attribute dependency. Decis. Support Syst. Der-Chiang Li, Liang-Sian Lin, Li-Jhong Peng
2013	J	`jnl`	A new approach for manufacturing forecast problems with insufficient data: the case of TFT-LCDs. J. Intell. Manuf. Der-Chiang Li, Chih-Chieh Chang, Chiao-Wen Liu, Wen-Chih Chen
2013	J	`jnl`	A new approach to assess product lifetime performance for small data sets. Eur. J. Oper. Res. Der-Chiang Li, Liang-Sian Lin
2012	J	`jnl`	A non-linear quality improvement model using SVR for manufacturing TFT-LCDs. J. Intell. Manuf. Der-Chiang Li, Wen-Chih Chen, Chiao-Wen Liu, Yao-San Lin
2012	J	`jnl`	A tree-based-trend-diffusion prediction procedure for small sample sets in the early stages of manufacturing systems. Expert Syst. Appl. Der-Chiang Li, Chien-Chih Chen, Che-Jung Chang, Wu-Kuo Lin
2012	J	`jnl`	Determining manufacturing parameters to suppress system variance using linear and non-linear models. Expert Syst. Appl. Der-Chiang Li, Wen-Chih Chen, Chiao-Wen Liu, Che-Jung Chang, Chien-Chih Chen
2012	J	`jnl`	Estimation of a data-collection maturity model to detect manufacturing change. Expert Syst. Appl. Chun-Wu Yeh, Der-Chiang Li, Yao-Ren Zhang
2012	J	`jnl`	Extending Attribute Information for Small Data Set Classification. IEEE Trans. Knowl. Data Eng. Der-Chiang Li, Chiao-Wen Liu
2012	J	`jnl`	Recursive operation time maximization model for the maintenance of power generation equipment. Comput. Oper. Res. Der-Chiang Li, Chiao-Wen Liu, Tung-Liang Chen
2012	J	`jnl`	Solving a two-agent single-machine scheduling problem considering learning effect. Comput. Oper. Res. Der-Chiang Li, Peng-Hsiang Hsu
2012	J	`jnl`	Using past manufacturing experience to assist building the yield forecast model for new manufacturing processes. J. Intell. Manuf. Der-Chiang Li, Yao-Hwei Fang, Chiao-Wen Liu, Cheng-jung Juang
2012	J	`jnl`	Using structure-based data transformation method to improve prediction accuracies for small data sets. Decis. Support Syst. Der-Chiang Li, Chih-Chieh Chang, Chiao-Wen Liu
2011	J	`jnl`	A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets. Artif. Intell. Medicine Der-Chiang Li, Chiao-Wen Liu, Susan C. Hu
2011	J	`jnl`	A two-stage clustering method to analyze customer characteristics to build discriminative customer management: A case of textile manufacturing business. Expert Syst. Appl. Der-Chiang Li, Wen-Li Dai, Wan-Ting Tseng
2011	J	`jnl`	Two-machine flowshop scheduling with truncated learning to minimize the total completion time. Comput. Ind. Eng. Der-Chiang Li, Peng-Hsiang Hsu, Chin-Chia Wu, T. C. Edwin Cheng
2010	J	`jnl`	A class possibility based kernel to increase classification accuracy for small data sets using support vector machines. Expert Syst. Appl. Der-Chiang Li, Chiao-Wen Liu
2010	J	`jnl`	A learning method for the class imbalance problem with medical data sets. Comput. Biol. Medicine Der-Chiang Li, Chiao-Wen Liu, Susan C. Hu
2010	J	`jnl`	A trend prediction model from very short term data learning. Expert Syst. Appl. Chun-Wu Yeh, Der-Chiang Li
2010	J	`jnl`	Applying systematic diagnosis and product classification approaches to solve multiple products operational issues in shop-floor integration systems. Expert Syst. Appl. Wen-Li Dai, Der-Chiang Li
2010	J	`jnl`	Building reliability growth model using sequential experiments and the Bayesian theorem for small datasets. Expert Syst. Appl. Der-Chiang Li, Fengming M. Chang, Kuei-Ching Chen
2010	J	`jnl`	The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems. Eur. J. Oper. Res. Yao-San Lin, Der-Chiang Li
2010	J	`jnl`	The data complexity index to construct an efficient cross-validation method. Decis. Support Syst. Der-Chiang Li, Yao-Hwei Fang, Y. M. Frank Fang
2009	J	`jnl`	A neural network weight determination model designed uniquely for small data set learning. Expert Syst. Appl. Der-Chiang Li, Chiao-Wen Liu
2009	J	`jnl`	A non-linearly virtual sample generation technique using group discovery and parametric equations of hypersphere. Expert Syst. Appl. Der-Chiang Li, Yao-Hwei Fang
2009	J	`jnl`	An improved grey-based approach for early manufacturing data forecasting. Comput. Ind. Eng. Der-Chiang Li, Chun-Wu Yeh, Che-Jung Chang
2009	J	`jnl`	Constructing marketing decision support systems using data diffusion technology: A case study of gas station diversification. Expert Syst. Appl. Der-Chiang Li, Yao-San Lin, Yu-Cheng Huang
2009	J	`jnl`	Using a system-diagnostic approach to solve information and operation issues in shop-floor integration systems. Expert Syst. Appl. Der-Chiang Li, Wen-Li Dai
2009	J	`jnl`	Utilization of virtual samples to facilitate cancer identification for DNA microarray data in the early stages of an investigation. Inf. Sci. Der-Chiang Li, Yao-Hwei Fang, Yung-Yao Lai, Susan C. Hu
2008	J	`jnl`	A case study: The prediction of Taiwan's export of polyester fiber using small-data-set learning methods. Expert Syst. Appl. Der-Chiang Li, Chun-Wu Yeh, Zheng-Yuan Li
2008	J	`jnl`	An algorithm to cluster data for efficient classification of support vector machines. Expert Syst. Appl. Der-Chiang Li, Yao-Hwei Fang
2008	J	`jnl`	Approximate modeling for high order non-linear functions using small sample sets. Expert Syst. Appl. Tung-I Tsai, Der-Chiang Li
2008	J	`jnl`	Learning management knowledge for manufacturing systems in the early stages using time series data. Eur. J. Oper. Res. Der-Chiang Li, Yao-San Lin
2008	J	`jnl`	Utilize bootstrap in small data set learning for pilot run modeling of manufacturing systems. Expert Syst. Appl. Tung-I Tsai, Der-Chiang Li
2007	J	`jnl`	A new method to help diagnose cancers for small sample size. Expert Syst. Appl. Der-Chiang Li, Hung-Chang Hsu, Tung-I Tsai, Te-Jung Lu, Susan C. Hu
2007	J	`jnl`	Acquiring knowledge with limited experience. Expert Syst. J. Knowl. Eng. Der-Chiang Li, Chun-Wu Yeh, Tung-I Tsai, Yao-Hwei Fang, Susan C. Hu
2007	J	`jnl`	An In-Out Combined Dynamic Weighted Round-Robin Method for Network Load Balancing. Comput. J. Der-Chiang Li, Fengming M. Chang
2007	J	`jnl`	Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge. Comput. Oper. Res. Der-Chiang Li, Chih-Sen Wu, Tung-I Tsai, Yao-San Lin
2006	J	`jnl`	Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge. Comput. Oper. Res. Der-Chiang Li, Chih-Sen Wu, Tung-I Tsai, Fengming M. Chang
2005	J	`jnl`	Determination of the parameters in the dynamic weighted Round-Robin method for network load balancing. Comput. Oper. Res. Der-Chiang Li, Chih-Sen Wu, Fengming M. Chang
1997	J	`jnl`	Using an Unsupervized Neural Network and Decision Tree as Knowledge Acquisition Tools for Fms Scheduling. Int. J. Syst. Sci. Der-Chiang Li, Chih-Sen Wu, Kuan-Yeh Torng